如何解读 python PSO 粒子群算法？ - 知乎 PSO uses a population of particles to search through the feasible space from a given initial position, looking for a maximum or minimum value Each particle is associated with a potential solution and their positions are updated according to their own experiences and those of the other particles
如何用粒子群优化（PSO）算法实现多目标优化？ - 知乎 1 预备知识 1 1 粒子群算法 关于粒子群算法，网上版本太多了，b站、知乎、csdn上一大堆，大家选择合适自己的进行学习。 1 2 帕累托最优（pareto） 在了解帕累托最优前，须先了解一下多目标优化的概念，下式为其相应的数学表达式： ，，， m i n f (x) = [f 1 (x)， f 2 (x)， ⋯ ， f p (x)] min \ \ f (x)= [f_ {1